Training Feedforward Neural Network Using Enhanced Black Hole Algorithm: A Case Study on COVID-19 Related ACE2 Gene Expression Classification

The aim of this paper is twofold. First, black hole algorithm (BHA) is proposed as a new training algorithm for feedforward neural networks (FNNs), since most traditional and metaheuristic algorithms for training FNNs suffer from the problem of slow coverage and getting stuck at local optima. BHA pr...

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Detalles Bibliográficos
Autores principales: Pashaei, Elham, Pashaei, Elnaz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Research Article-Computer Engineering and Computer Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7823180/
https://www.ncbi.nlm.nih.gov/pubmed/33520590
http://dx.doi.org/10.1007/s13369-020-05217-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7823180/
https://www.ncbi.nlm.nih.gov/pubmed/33520590
http://dx.doi.org/10.1007/s13369-020-05217-8

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